Overview

Brought to you by YData

Dataset statistics

Number of variables26
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.1 KiB
Average record size in memory216.0 B

Variable types

Categorical2
TimeSeries22
Numeric2

Timeseries statistics

Number of series22
Time series length100
Starting point1751995080000
Ending point1752001020000
Period60000
2025-07-18T18:18:18.175160image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:18.305650image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Alerts

pair has constant value "ETH/EUR" Constant
candle_seconds has constant value "60" Constant
close is highly overall correlated with ema_14 and 16 other fieldsHigh correlation
ema_14 is highly overall correlated with close and 13 other fieldsHigh correlation
ema_21 is highly overall correlated with close and 13 other fieldsHigh correlation
ema_60 is highly overall correlated with close and 14 other fieldsHigh correlation
ema_7 is highly overall correlated with close and 13 other fieldsHigh correlation
high is highly overall correlated with close and 15 other fieldsHigh correlation
low is highly overall correlated with close and 16 other fieldsHigh correlation
macd_7 is highly overall correlated with macdsignal_7 and 2 other fieldsHigh correlation
macdhist_7 is highly overall correlated with close and 5 other fieldsHigh correlation
macdsignal_7 is highly overall correlated with macd_7 and 2 other fieldsHigh correlation
obv is highly overall correlated with volumeHigh correlation
open is highly overall correlated with close and 14 other fieldsHigh correlation
rsi_14 is highly overall correlated with close and 8 other fieldsHigh correlation
rsi_21 is highly overall correlated with macd_7 and 2 other fieldsHigh correlation
rsi_60 is highly overall correlated with ema_14 and 7 other fieldsHigh correlation
rsi_7 is highly overall correlated with close and 4 other fieldsHigh correlation
sma_14 is highly overall correlated with close and 13 other fieldsHigh correlation
sma_21 is highly overall correlated with close and 13 other fieldsHigh correlation
sma_60 is highly overall correlated with close and 14 other fieldsHigh correlation
sma_7 is highly overall correlated with close and 13 other fieldsHigh correlation
target is highly overall correlated with close and 5 other fieldsHigh correlation
volume is highly overall correlated with obvHigh correlation
window_end_ms is highly overall correlated with close and 14 other fieldsHigh correlation
window_start_ms is highly overall correlated with close and 14 other fieldsHigh correlation
open is non stationary Non stationary
high is non stationary Non stationary
low is non stationary Non stationary
close is non stationary Non stationary
window_start_ms is non stationary Non stationary
window_end_ms is non stationary Non stationary
sma_7 is non stationary Non stationary
sma_14 is non stationary Non stationary
sma_60 is non stationary Non stationary
ema_7 is non stationary Non stationary
ema_14 is non stationary Non stationary
ema_60 is non stationary Non stationary
rsi_21 is non stationary Non stationary
rsi_60 is non stationary Non stationary
target is non stationary Non stationary
window_start_ms is uniformly distributed Uniform
window_end_ms is uniformly distributed Uniform
volume has unique values Unique
window_start_ms has unique values Unique
window_end_ms has unique values Unique
sma_14 has unique values Unique
sma_21 has unique values Unique
sma_60 has unique values Unique
ema_14 has unique values Unique
ema_21 has unique values Unique
ema_60 has unique values Unique
rsi_7 has unique values Unique
rsi_21 has unique values Unique
rsi_60 has unique values Unique
macd_7 has unique values Unique
macdsignal_7 has unique values Unique
macdhist_7 has unique values Unique
obv has unique values Unique

Reproduction

Analysis started2025-07-18 17:17:57.109972
Analysis finished2025-07-18 17:18:18.120181
Duration21.01 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

pair
Categorical

Constant 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
ETH/EUR
100 

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters700
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowETH/EUR
2nd rowETH/EUR
3rd rowETH/EUR
4th rowETH/EUR
5th rowETH/EUR

Common Values

ValueCountFrequency (%)
ETH/EUR 100
100.0%

Length

2025-07-18T18:18:18.399078image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-07-18T18:18:18.564143image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
eth/eur 100
100.0%

Most occurring characters

ValueCountFrequency (%)
E 200
28.6%
T 100
14.3%
H 100
14.3%
/ 100
14.3%
U 100
14.3%
R 100
14.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 700
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
E 200
28.6%
T 100
14.3%
H 100
14.3%
/ 100
14.3%
U 100
14.3%
R 100
14.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 700
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
E 200
28.6%
T 100
14.3%
H 100
14.3%
/ 100
14.3%
U 100
14.3%
R 100
14.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 700
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
E 200
28.6%
T 100
14.3%
H 100
14.3%
/ 100
14.3%
U 100
14.3%
R 100
14.3%

open
Numeric time series

High correlation  Non stationary 

Distinct89
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2232.5721
Minimum2224.6
Maximum2240.47
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T18:18:18.592618image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2224.6
5-th percentile2226.6395
Q12230.77
median2232.52
Q32234.5075
95-th percentile2238
Maximum2240.47
Range15.87
Interquartile range (IQR)3.7375

Descriptive statistics

Standard deviation3.1575173
Coefficient of variation (CV)0.0014142958
Kurtosis0.12721474
Mean2232.5721
Median Absolute Deviation (MAD)1.885
Skewness-0.11157707
Sum223257.21
Variance9.9699157
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.1538032068
2025-07-18T18:18:18.640154image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T18:18:18.765522image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T18:18:18.795463image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2232.55 2
 
2.0%
2231.83 2
 
2.0%
2230.63 2
 
2.0%
2226.62 2
 
2.0%
2231.3 2
 
2.0%
2234.05 2
 
2.0%
2231.63 2
 
2.0%
2231.64 2
 
2.0%
2238 2
 
2.0%
2232.6 2
 
2.0%
Other values (79) 80
80.0%
ValueCountFrequency (%)
2224.6 1
1.0%
2225.09 1
1.0%
2226.62 2
2.0%
2226.63 1
1.0%
2226.64 1
1.0%
2227.06 1
1.0%
2227.86 1
1.0%
2228.06 1
1.0%
2228.12 1
1.0%
2228.3 1
1.0%
ValueCountFrequency (%)
2240.47 1
1.0%
2239.46 1
1.0%
2239 1
1.0%
2238.73 1
1.0%
2238 2
2.0%
2237.85 1
1.0%
2236.57 1
1.0%
2236.52 1
1.0%
2236.37 1
1.0%
2236.33 1
1.0%
2025-07-18T18:18:18.676034image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

high
Numeric time series

High correlation  Non stationary 

Distinct85
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2233.2565
Minimum2226.56
Maximum2241.13
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T18:18:18.845967image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2226.56
5-th percentile2227.4685
Q12231.84
median2233.37
Q32234.97
95-th percentile2238.791
Maximum2241.13
Range14.57
Interquartile range (IQR)3.13

Descriptive statistics

Standard deviation3.1217019
Coefficient of variation (CV)0.0013978251
Kurtosis0.14705752
Mean2233.2565
Median Absolute Deviation (MAD)1.535
Skewness-0.05207969
Sum223325.65
Variance9.745023
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.2333532158
2025-07-18T18:18:18.896793image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T18:18:19.019362image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T18:18:19.044148image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2234.05 4
 
4.0%
2238 3
 
3.0%
2232.6 3
 
3.0%
2231 2
 
2.0%
2231.84 2
 
2.0%
2233.38 2
 
2.0%
2236.04 2
 
2.0%
2226.63 2
 
2.0%
2232.14 2
 
2.0%
2233.42 2
 
2.0%
Other values (75) 76
76.0%
ValueCountFrequency (%)
2226.56 1
1.0%
2226.63 2
2.0%
2226.7 1
1.0%
2227.06 1
1.0%
2227.49 1
1.0%
2227.57 1
1.0%
2228.37 1
1.0%
2228.52 1
1.0%
2228.61 1
1.0%
2228.78 1
1.0%
ValueCountFrequency (%)
2241.13 1
 
1.0%
2240.47 1
 
1.0%
2239.46 1
 
1.0%
2239.32 1
 
1.0%
2238.81 1
 
1.0%
2238.79 1
 
1.0%
2238 3
3.0%
2237.85 1
 
1.0%
2236.74 1
 
1.0%
2236.53 1
 
1.0%
2025-07-18T18:18:18.935640image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

low
Numeric time series

High correlation  Non stationary 

Distinct87
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2231.8589
Minimum2224.08
Maximum2238.72
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T18:18:19.087618image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2224.08
5-th percentile2226.4105
Q12230.485
median2232.015
Q32233.9525
95-th percentile2236.4345
Maximum2238.72
Range14.64
Interquartile range (IQR)3.4675

Descriptive statistics

Standard deviation3.1918213
Coefficient of variation (CV)0.0014301179
Kurtosis-0.053430149
Mean2231.8589
Median Absolute Deviation (MAD)1.92
Skewness-0.23491074
Sum223185.89
Variance10.187723
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.07559218826
2025-07-18T18:18:19.138784image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T18:18:19.286738image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T18:18:19.323087image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2231.29 5
 
5.0%
2230.62 4
 
4.0%
2232.2 2
 
2.0%
2228.09 2
 
2.0%
2231.96 2
 
2.0%
2233.36 2
 
2.0%
2226.58 2
 
2.0%
2238.72 2
 
2.0%
2228.5 1
 
1.0%
2230.08 1
 
1.0%
Other values (77) 77
77.0%
ValueCountFrequency (%)
2224.08 1
1.0%
2224.84 1
1.0%
2224.92 1
1.0%
2225.09 1
1.0%
2226.04 1
1.0%
2226.43 1
1.0%
2226.58 2
2.0%
2226.63 1
1.0%
2226.64 1
1.0%
2227.5 1
1.0%
ValueCountFrequency (%)
2238.72 2
2.0%
2238.41 1
1.0%
2238 1
1.0%
2237.47 1
1.0%
2236.38 1
1.0%
2236.37 1
1.0%
2236.06 1
1.0%
2235.99 1
1.0%
2235.98 1
1.0%
2235.91 1
1.0%
2025-07-18T18:18:19.187158image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

close
Numeric time series

High correlation  Non stationary 

Distinct93
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2232.5613
Minimum2224.84
Maximum2239.18
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T18:18:19.373130image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2224.84
5-th percentile2226.579
Q12231.1875
median2232.67
Q32234.53
95-th percentile2238.0205
Maximum2239.18
Range14.34
Interquartile range (IQR)3.3425

Descriptive statistics

Standard deviation3.2009388
Coefficient of variation (CV)0.0014337518
Kurtosis-0.037444351
Mean2232.5613
Median Absolute Deviation (MAD)1.83
Skewness-0.24413225
Sum223256.13
Variance10.246009
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.05300100673
2025-07-18T18:18:19.425864image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T18:18:19.576992image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T18:18:19.607588image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2234.53 3
 
3.0%
2231.84 2
 
2.0%
2231 2
 
2.0%
2238 2
 
2.0%
2232.79 2
 
2.0%
2231.3 2
 
2.0%
2228.71 1
 
1.0%
2228.62 1
 
1.0%
2229.19 1
 
1.0%
2229.4 1
 
1.0%
Other values (83) 83
83.0%
ValueCountFrequency (%)
2224.84 1
1.0%
2225.23 1
1.0%
2226.04 1
1.0%
2226.43 1
1.0%
2226.56 1
1.0%
2226.58 1
1.0%
2226.63 1
1.0%
2226.68 1
1.0%
2227.15 1
1.0%
2228.09 1
1.0%
ValueCountFrequency (%)
2239.18 1
1.0%
2238.81 1
1.0%
2238.79 1
1.0%
2238.72 1
1.0%
2238.41 1
1.0%
2238 2
2.0%
2237.99 1
1.0%
2236.56 1
1.0%
2236.53 1
1.0%
2236.5 1
1.0%
2025-07-18T18:18:19.464417image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

volume
Real number (ℝ)

High correlation  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.809137
Minimum0.0321743
Maximum805.78962
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-07-18T18:18:19.660681image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.0321743
5-th percentile0.088659096
Q10.42654434
median1.6500478
Q35.6712958
95-th percentile29.838996
Maximum805.78962
Range805.75744
Interquartile range (IQR)5.2447515

Descriptive statistics

Standard deviation80.673606
Coefficient of variation (CV)5.8420455
Kurtosis96.59189
Mean13.809137
Median Absolute Deviation (MAD)1.3530768
Skewness9.7523806
Sum1380.9137
Variance6508.2307
MonotonicityNot monotonic
2025-07-18T18:18:19.711793image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18.94995462 1
 
1.0%
6.35891736 1
 
1.0%
13.40398024 1
 
1.0%
18.0017557 1
 
1.0%
2.02466316 1
 
1.0%
18.8616936 1
 
1.0%
11.20648477 1
 
1.0%
0.80789053 1
 
1.0%
9.36610264 1
 
1.0%
1.53413108 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
0.0321743 1
1.0%
0.04809814 1
1.0%
0.05372216 1
1.0%
0.055102 1
1.0%
0.08738507 1
1.0%
0.08872615 1
1.0%
0.1025109 1
1.0%
0.1345293 1
1.0%
0.18378563 1
1.0%
0.19946723 1
1.0%
ValueCountFrequency (%)
805.7896151 1
1.0%
58.80823865 1
1.0%
46.6760611 1
1.0%
43.15335119 1
1.0%
40.1093201 1
1.0%
29.2984526 1
1.0%
25.96430709 1
1.0%
20.39150256 1
1.0%
18.94995462 1
1.0%
18.8616936 1
1.0%

window_start_ms
Numeric time series

High correlation  Non stationary  Uniform  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.751998 × 1012
Minimum1.7519951 × 1012
Maximum1.752001 × 1012
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T18:18:19.762815image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.7519951 × 1012
5-th percentile1.7519954 × 1012
Q11.7519966 × 1012
median1.751998 × 1012
Q31.7519995 × 1012
95-th percentile1.7520007 × 1012
Maximum1.752001 × 1012
Range5940000
Interquartile range (IQR)2970000

Descriptive statistics

Standard deviation1740689.5
Coefficient of variation (CV)9.9354535 × 10-7
Kurtosis-1.2
Mean1.751998 × 1012
Median Absolute Deviation (MAD)1500000
Skewness3.2018039 × 10-17
Sum1.751998 × 1014
Variance3.03 × 1012
MonotonicityStrictly increasing
Augmented Dickey-Fuller test p-value0.9585144162
2025-07-18T18:18:19.814209image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T18:18:19.959692image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T18:18:19.991102image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.75199508 × 10121
 
1.0%
1.75199514 × 10121
 
1.0%
1.7519952 × 10121
 
1.0%
1.75199526 × 10121
 
1.0%
1.75199532 × 10121
 
1.0%
1.75199538 × 10121
 
1.0%
1.75199544 × 10121
 
1.0%
1.7519955 × 10121
 
1.0%
1.75199556 × 10121
 
1.0%
1.75199562 × 10121
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
1.75199508 × 10121
1.0%
1.75199514 × 10121
1.0%
1.7519952 × 10121
1.0%
1.75199526 × 10121
1.0%
1.75199532 × 10121
1.0%
1.75199538 × 10121
1.0%
1.75199544 × 10121
1.0%
1.7519955 × 10121
1.0%
1.75199556 × 10121
1.0%
1.75199562 × 10121
1.0%
ValueCountFrequency (%)
1.75200102 × 10121
1.0%
1.75200096 × 10121
1.0%
1.7520009 × 10121
1.0%
1.75200084 × 10121
1.0%
1.75200078 × 10121
1.0%
1.75200072 × 10121
1.0%
1.75200066 × 10121
1.0%
1.7520006 × 10121
1.0%
1.75200054 × 10121
1.0%
1.75200048 × 10121
1.0%
2025-07-18T18:18:19.853809image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

window_end_ms
Numeric time series

High correlation  Non stationary  Uniform  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7519981 × 1012
Minimum1.7519951 × 1012
Maximum1.7520011 × 1012
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T18:18:20.039445image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.7519951 × 1012
5-th percentile1.7519954 × 1012
Q11.7519966 × 1012
median1.7519981 × 1012
Q31.7519996 × 1012
95-th percentile1.7520008 × 1012
Maximum1.7520011 × 1012
Range5940000
Interquartile range (IQR)2970000

Descriptive statistics

Standard deviation1740689.5
Coefficient of variation (CV)9.9354532 × 10-7
Kurtosis-1.2
Mean1.7519981 × 1012
Median Absolute Deviation (MAD)1500000
Skewness3.2018039 × 10-17
Sum1.7519981 × 1014
Variance3.03 × 1012
MonotonicityStrictly increasing
Augmented Dickey-Fuller test p-value0.9585306293
2025-07-18T18:18:20.090912image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T18:18:20.231201image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T18:18:20.257627image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.75199514 × 10121
 
1.0%
1.7519952 × 10121
 
1.0%
1.75199526 × 10121
 
1.0%
1.75199532 × 10121
 
1.0%
1.75199538 × 10121
 
1.0%
1.75199544 × 10121
 
1.0%
1.7519955 × 10121
 
1.0%
1.75199556 × 10121
 
1.0%
1.75199562 × 10121
 
1.0%
1.75199568 × 10121
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
1.75199514 × 10121
1.0%
1.7519952 × 10121
1.0%
1.75199526 × 10121
1.0%
1.75199532 × 10121
1.0%
1.75199538 × 10121
1.0%
1.75199544 × 10121
1.0%
1.7519955 × 10121
1.0%
1.75199556 × 10121
1.0%
1.75199562 × 10121
1.0%
1.75199568 × 10121
1.0%
ValueCountFrequency (%)
1.75200108 × 10121
1.0%
1.75200102 × 10121
1.0%
1.75200096 × 10121
1.0%
1.7520009 × 10121
1.0%
1.75200084 × 10121
1.0%
1.75200078 × 10121
1.0%
1.75200072 × 10121
1.0%
1.75200066 × 10121
1.0%
1.7520006 × 10121
1.0%
1.75200054 × 10121
1.0%
2025-07-18T18:18:20.131163image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

candle_seconds
Categorical

Constant 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
60
100 

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters200
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row60
2nd row60
3rd row60
4th row60
5th row60

Common Values

ValueCountFrequency (%)
60 100
100.0%

Length

2025-07-18T18:18:20.309298image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-07-18T18:18:20.336167image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
60 100
100.0%

Most occurring characters

ValueCountFrequency (%)
6 100
50.0%
0 100
50.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 200
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
6 100
50.0%
0 100
50.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 200
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
6 100
50.0%
0 100
50.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 200
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
6 100
50.0%
0 100
50.0%

sma_7
Numeric time series

High correlation  Non stationary 

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2232.4151
Minimum2226.3914
Maximum2237.7143
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T18:18:20.520959image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2226.3914
5-th percentile2227.3603
Q12230.7943
median2232.6279
Q32234.0232
95-th percentile2236.0549
Maximum2237.7143
Range11.322857
Interquartile range (IQR)3.2289286

Descriptive statistics

Standard deviation2.5318702
Coefficient of variation (CV)0.0011341395
Kurtosis-0.11936482
Mean2232.4151
Median Absolute Deviation (MAD)1.5485714
Skewness-0.38942729
Sum223241.51
Variance6.4103666
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.1788343472
2025-07-18T18:18:20.575413image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T18:18:20.719484image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T18:18:20.750634image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2229.528571 2
 
2.0%
2231.234286 1
 
1.0%
2231.495714 1
 
1.0%
2230.83 1
 
1.0%
2230.655714 1
 
1.0%
2229.972857 1
 
1.0%
2230.528571 1
 
1.0%
2230.822857 1
 
1.0%
2230.308571 1
 
1.0%
2230.211429 1
 
1.0%
Other values (89) 89
89.0%
ValueCountFrequency (%)
2226.391429 1
1.0%
2226.614286 1
1.0%
2226.714286 1
1.0%
2226.748571 1
1.0%
2227.23 1
1.0%
2227.367143 1
1.0%
2227.801429 1
1.0%
2228.152857 1
1.0%
2228.418571 1
1.0%
2228.711429 1
1.0%
ValueCountFrequency (%)
2237.714286 1
1.0%
2237.404286 1
1.0%
2236.911429 1
1.0%
2236.601429 1
1.0%
2236.338571 1
1.0%
2236.04 1
1.0%
2235.971429 1
1.0%
2235.74 1
1.0%
2235.721429 1
1.0%
2235.614286 1
1.0%
2025-07-18T18:18:20.620992image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

sma_14
Numeric time series

High correlation  Non stationary  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2232.1439
Minimum2226.5471
Maximum2236.0079
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T18:18:20.797445image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2226.5471
5-th percentile2227.9768
Q12230.462
median2232.6789
Q32233.8064
95-th percentile2235.1335
Maximum2236.0079
Range9.4607143
Interquartile range (IQR)3.3444643

Descriptive statistics

Standard deviation2.2273328
Coefficient of variation (CV)0.00099784462
Kurtosis-0.68434297
Mean2232.1439
Median Absolute Deviation (MAD)1.705
Skewness-0.48454815
Sum223214.39
Variance4.9610114
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.3587697556
2025-07-18T18:18:20.854331image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T18:18:20.994491image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T18:18:21.021640image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2226.547143 1
 
1.0%
2227.467857 1
 
1.0%
2228.757857 1
 
1.0%
2229.531429 1
 
1.0%
2229.852143 1
 
1.0%
2230.339286 1
 
1.0%
2230.722143 1
 
1.0%
2231.012143 1
 
1.0%
2231.028571 1
 
1.0%
2230.569286 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
2226.547143 1
1.0%
2227.467857 1
1.0%
2227.865714 1
1.0%
2227.892857 1
1.0%
2227.970714 1
1.0%
2227.977143 1
1.0%
2228.048571 1
1.0%
2228.338571 1
1.0%
2228.51 1
1.0%
2228.757857 1
1.0%
ValueCountFrequency (%)
2236.007857 1
1.0%
2235.792857 1
1.0%
2235.567857 1
1.0%
2235.239286 1
1.0%
2235.145714 1
1.0%
2235.132857 1
1.0%
2234.935 1
1.0%
2234.882857 1
1.0%
2234.871429 1
1.0%
2234.835 1
1.0%
2025-07-18T18:18:20.896355image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

sma_21
Numeric time series

High correlation  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2231.4469
Minimum2218.4271
Maximum2235.199
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T18:18:21.068891image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2218.4271
5-th percentile2225.1038
Q12230.0952
median2232.6257
Q32233.4585
95-th percentile2234.3865
Maximum2235.199
Range16.771905
Interquartile range (IQR)3.3632143

Descriptive statistics

Standard deviation3.1448606
Coefficient of variation (CV)0.001409337
Kurtosis5.1170258
Mean2231.4469
Median Absolute Deviation (MAD)1.5061905
Skewness-2.0445754
Sum223144.69
Variance9.8901485
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.03011756269
2025-07-18T18:18:21.121988image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T18:18:21.268719image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T18:18:21.299326image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2218.427143 1
 
1.0%
2219.568571 1
 
1.0%
2221.049524 1
 
1.0%
2222.430952 1
 
1.0%
2223.71 1
 
1.0%
2225.177143 1
 
1.0%
2226.55 1
 
1.0%
2227.874286 1
 
1.0%
2228.58619 1
 
1.0%
2229.274762 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
2218.427143 1
1.0%
2219.568571 1
1.0%
2221.049524 1
1.0%
2222.430952 1
1.0%
2223.71 1
1.0%
2225.177143 1
1.0%
2226.55 1
1.0%
2227.874286 1
1.0%
2228.58619 1
1.0%
2228.92 1
1.0%
ValueCountFrequency (%)
2235.199048 1
1.0%
2234.890476 1
1.0%
2234.637619 1
1.0%
2234.55619 1
1.0%
2234.537619 1
1.0%
2234.378571 1
1.0%
2234.36619 1
1.0%
2234.317619 1
1.0%
2234.219524 1
1.0%
2234.134286 1
1.0%
2025-07-18T18:18:21.163156image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

sma_60
Numeric time series

High correlation  Non stationary  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2225.7894
Minimum2206.4697
Maximum2233.8622
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T18:18:21.354527image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2206.4697
5-th percentile2209.3832
Q12219.0305
median2231.0394
Q32232.2559
95-th percentile2233.7565
Maximum2233.8622
Range27.3925
Interquartile range (IQR)13.225333

Descriptive statistics

Standard deviation8.5110326
Coefficient of variation (CV)0.0038238265
Kurtosis-0.71033106
Mean2225.7894
Median Absolute Deviation (MAD)2.7158333
Skewness-0.86317253
Sum222578.94
Variance72.437677
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.2353241007
2025-07-18T18:18:21.410097image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T18:18:21.554292image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T18:18:21.584537image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2206.469667 1
 
1.0%
2207.069 1
 
1.0%
2207.730333 1
 
1.0%
2208.3085 1
 
1.0%
2208.833833 1
 
1.0%
2209.412167 1
 
1.0%
2209.981 1
 
1.0%
2210.571167 1
 
1.0%
2210.970333 1
 
1.0%
2211.440667 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
2206.469667 1
1.0%
2207.069 1
1.0%
2207.730333 1
1.0%
2208.3085 1
1.0%
2208.833833 1
1.0%
2209.412167 1
1.0%
2209.981 1
1.0%
2210.571167 1
1.0%
2210.970333 1
1.0%
2211.440667 1
1.0%
ValueCountFrequency (%)
2233.862167 1
1.0%
2233.862 1
1.0%
2233.805667 1
1.0%
2233.797667 1
1.0%
2233.768333 1
1.0%
2233.755833 1
1.0%
2233.755667 1
1.0%
2233.754833 1
1.0%
2233.717833 1
1.0%
2233.7115 1
1.0%
2025-07-18T18:18:21.452334image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

ema_7
Numeric time series

High correlation  Non stationary 

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2232.4151
Minimum2226.3914
Maximum2237.7143
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T18:18:21.632429image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2226.3914
5-th percentile2227.3603
Q12230.7943
median2232.6279
Q32234.0232
95-th percentile2236.0549
Maximum2237.7143
Range11.322857
Interquartile range (IQR)3.2289286

Descriptive statistics

Standard deviation2.5318702
Coefficient of variation (CV)0.0011341395
Kurtosis-0.11936482
Mean2232.4151
Median Absolute Deviation (MAD)1.5485714
Skewness-0.38942729
Sum223241.51
Variance6.4103666
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.1788343472
2025-07-18T18:18:21.686891image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T18:18:21.833150image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T18:18:21.862691image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2229.528571 2
 
2.0%
2231.234286 1
 
1.0%
2231.495714 1
 
1.0%
2230.83 1
 
1.0%
2230.655714 1
 
1.0%
2229.972857 1
 
1.0%
2230.528571 1
 
1.0%
2230.822857 1
 
1.0%
2230.308571 1
 
1.0%
2230.211429 1
 
1.0%
Other values (89) 89
89.0%
ValueCountFrequency (%)
2226.391429 1
1.0%
2226.614286 1
1.0%
2226.714286 1
1.0%
2226.748571 1
1.0%
2227.23 1
1.0%
2227.367143 1
1.0%
2227.801429 1
1.0%
2228.152857 1
1.0%
2228.418571 1
1.0%
2228.711429 1
1.0%
ValueCountFrequency (%)
2237.714286 1
1.0%
2237.404286 1
1.0%
2236.911429 1
1.0%
2236.601429 1
1.0%
2236.338571 1
1.0%
2236.04 1
1.0%
2235.971429 1
1.0%
2235.74 1
1.0%
2235.721429 1
1.0%
2235.614286 1
1.0%
2025-07-18T18:18:21.728463image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

ema_14
Numeric time series

High correlation  Non stationary  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2232.1439
Minimum2226.5471
Maximum2236.0079
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T18:18:21.942203image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2226.5471
5-th percentile2227.9768
Q12230.462
median2232.6789
Q32233.8064
95-th percentile2235.1335
Maximum2236.0079
Range9.4607143
Interquartile range (IQR)3.3444643

Descriptive statistics

Standard deviation2.2273328
Coefficient of variation (CV)0.00099784462
Kurtosis-0.68434297
Mean2232.1439
Median Absolute Deviation (MAD)1.705
Skewness-0.48454815
Sum223214.39
Variance4.9610114
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.3587697556
2025-07-18T18:18:22.002285image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T18:18:22.153361image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T18:18:22.182607image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2226.547143 1
 
1.0%
2227.467857 1
 
1.0%
2228.757857 1
 
1.0%
2229.531429 1
 
1.0%
2229.852143 1
 
1.0%
2230.339286 1
 
1.0%
2230.722143 1
 
1.0%
2231.012143 1
 
1.0%
2231.028571 1
 
1.0%
2230.569286 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
2226.547143 1
1.0%
2227.467857 1
1.0%
2227.865714 1
1.0%
2227.892857 1
1.0%
2227.970714 1
1.0%
2227.977143 1
1.0%
2228.048571 1
1.0%
2228.338571 1
1.0%
2228.51 1
1.0%
2228.757857 1
1.0%
ValueCountFrequency (%)
2236.007857 1
1.0%
2235.792857 1
1.0%
2235.567857 1
1.0%
2235.239286 1
1.0%
2235.145714 1
1.0%
2235.132857 1
1.0%
2234.935 1
1.0%
2234.882857 1
1.0%
2234.871429 1
1.0%
2234.835 1
1.0%
2025-07-18T18:18:22.047200image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

ema_21
Numeric time series

High correlation  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2231.4469
Minimum2218.4271
Maximum2235.199
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T18:18:22.231256image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2218.4271
5-th percentile2225.1038
Q12230.0952
median2232.6257
Q32233.4585
95-th percentile2234.3865
Maximum2235.199
Range16.771905
Interquartile range (IQR)3.3632143

Descriptive statistics

Standard deviation3.1448606
Coefficient of variation (CV)0.001409337
Kurtosis5.1170258
Mean2231.4469
Median Absolute Deviation (MAD)1.5061905
Skewness-2.0445754
Sum223144.69
Variance9.8901485
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.03011756269
2025-07-18T18:18:22.289040image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T18:18:22.618606image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T18:18:22.650645image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2218.427143 1
 
1.0%
2219.568571 1
 
1.0%
2221.049524 1
 
1.0%
2222.430952 1
 
1.0%
2223.71 1
 
1.0%
2225.177143 1
 
1.0%
2226.55 1
 
1.0%
2227.874286 1
 
1.0%
2228.58619 1
 
1.0%
2229.274762 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
2218.427143 1
1.0%
2219.568571 1
1.0%
2221.049524 1
1.0%
2222.430952 1
1.0%
2223.71 1
1.0%
2225.177143 1
1.0%
2226.55 1
1.0%
2227.874286 1
1.0%
2228.58619 1
1.0%
2228.92 1
1.0%
ValueCountFrequency (%)
2235.199048 1
1.0%
2234.890476 1
1.0%
2234.637619 1
1.0%
2234.55619 1
1.0%
2234.537619 1
1.0%
2234.378571 1
1.0%
2234.36619 1
1.0%
2234.317619 1
1.0%
2234.219524 1
1.0%
2234.134286 1
1.0%
2025-07-18T18:18:22.332396image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

ema_60
Numeric time series

High correlation  Non stationary  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2225.7894
Minimum2206.4697
Maximum2233.8622
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T18:18:22.705565image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2206.4697
5-th percentile2209.3832
Q12219.0305
median2231.0394
Q32232.2559
95-th percentile2233.7565
Maximum2233.8622
Range27.3925
Interquartile range (IQR)13.225333

Descriptive statistics

Standard deviation8.5110326
Coefficient of variation (CV)0.0038238265
Kurtosis-0.71033106
Mean2225.7894
Median Absolute Deviation (MAD)2.7158333
Skewness-0.86317253
Sum222578.94
Variance72.437677
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.2353241007
2025-07-18T18:18:22.769937image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T18:18:22.925150image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T18:18:22.956311image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2206.469667 1
 
1.0%
2207.069 1
 
1.0%
2207.730333 1
 
1.0%
2208.3085 1
 
1.0%
2208.833833 1
 
1.0%
2209.412167 1
 
1.0%
2209.981 1
 
1.0%
2210.571167 1
 
1.0%
2210.970333 1
 
1.0%
2211.440667 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
2206.469667 1
1.0%
2207.069 1
1.0%
2207.730333 1
1.0%
2208.3085 1
1.0%
2208.833833 1
1.0%
2209.412167 1
1.0%
2209.981 1
1.0%
2210.571167 1
1.0%
2210.970333 1
1.0%
2211.440667 1
1.0%
ValueCountFrequency (%)
2233.862167 1
1.0%
2233.862 1
1.0%
2233.805667 1
1.0%
2233.797667 1
1.0%
2233.768333 1
1.0%
2233.755833 1
1.0%
2233.755667 1
1.0%
2233.754833 1
1.0%
2233.717833 1
1.0%
2233.7115 1
1.0%
2025-07-18T18:18:22.818162image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

rsi_7
Numeric time series

High correlation  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.488602
Minimum0
Maximum92.857143
Zeros1
Zeros (%)1.0%
Memory size1.6 KiB
2025-07-18T18:18:23.002524image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11.916667
Q136.148639
median50.094518
Q362.981536
95-th percentile85.632889
Maximum92.857143
Range92.857143
Interquartile range (IQR)26.832897

Descriptive statistics

Standard deviation22.009447
Coefficient of variation (CV)0.43592903
Kurtosis-0.47421
Mean50.488602
Median Absolute Deviation (MAD)13.52865
Skewness-0.15942645
Sum5048.8602
Variance484.41577
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.0006841080236
2025-07-18T18:18:23.056655image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T18:18:23.202576image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T18:18:23.233535image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
44.34615385 1
 
1.0%
46.62486167 1
 
1.0%
44.58062045 1
 
1.0%
47.51020408 1
 
1.0%
39.90709459 1
 
1.0%
43.86587771 1
 
1.0%
50 1
 
1.0%
72.96587927 1
 
1.0%
56.15292712 1
 
1.0%
33.75451264 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
0 1
1.0%
7.465277778 1
1.0%
7.570422535 1
1.0%
8.2616179 1
1.0%
8.333333333 1
1.0%
12.10526316 1
1.0%
12.82527881 1
1.0%
14.0651801 1
1.0%
14.52631579 1
1.0%
15.00484027 1
1.0%
ValueCountFrequency (%)
92.85714286 1
1.0%
92.00968523 1
1.0%
88.84353741 1
1.0%
88.4180791 1
1.0%
87.82161235 1
1.0%
85.51769332 1
1.0%
84.11764706 1
1.0%
83.46303502 1
1.0%
83.41625207 1
1.0%
82.92117465 1
1.0%
2025-07-18T18:18:23.098220image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

rsi_14
Numeric time series

High correlation 

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.124547
Minimum11.132255
Maximum82.111437
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T18:18:23.291845image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum11.132255
5-th percentile33.966752
Q142.869505
median53.107055
Q363.290331
95-th percentile73.703422
Maximum82.111437
Range70.979182
Interquartile range (IQR)20.420826

Descriptive statistics

Standard deviation13.275662
Coefficient of variation (CV)0.24989695
Kurtosis0.010335073
Mean53.124547
Median Absolute Deviation (MAD)10.43946
Skewness-0.17830822
Sum5312.4547
Variance176.24321
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.02517313752
2025-07-18T18:18:23.364916image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T18:18:23.550117image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T18:18:23.587149image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
48.4236055 2
 
2.0%
65.4076022 1
 
1.0%
70.91457286 1
 
1.0%
61.98273954 1
 
1.0%
55.3979322 1
 
1.0%
57.76411658 1
 
1.0%
56.29995299 1
 
1.0%
54.92240543 1
 
1.0%
50.2622577 1
 
1.0%
41.35520301 1
 
1.0%
Other values (89) 89
89.0%
ValueCountFrequency (%)
11.132255 1
1.0%
24.03536977 1
1.0%
25.81453634 1
1.0%
30.53302433 1
1.0%
32.80726925 1
1.0%
34.02777778 1
1.0%
34.87055016 1
1.0%
36.39427127 1
1.0%
36.58070678 1
1.0%
38.51806491 1
1.0%
ValueCountFrequency (%)
82.11143695 1
1.0%
78.7428023 1
1.0%
75.22522523 1
1.0%
74.17279412 1
1.0%
73.73695198 1
1.0%
73.70165746 1
1.0%
73.1092437 1
1.0%
73.05893358 1
1.0%
72.54901961 1
1.0%
71.82222222 1
1.0%
2025-07-18T18:18:23.417367image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

rsi_21
Numeric time series

High correlation  Non stationary  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.542258
Minimum33.867055
Maximum75.15528
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T18:18:23.645592image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum33.867055
5-th percentile40.151384
Q146.817831
median54.673228
Q360.781671
95-th percentile71.417699
Maximum75.15528
Range41.288225
Interquartile range (IQR)13.963839

Descriptive statistics

Standard deviation9.7051447
Coefficient of variation (CV)0.17793808
Kurtosis-0.70289443
Mean54.542258
Median Absolute Deviation (MAD)7.2323651
Skewness0.16605058
Sum5454.2258
Variance94.189833
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.1744834368
2025-07-18T18:18:23.700609image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T18:18:23.846445image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T18:18:23.886183image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
70.41284404 1
 
1.0%
70.83985394 1
 
1.0%
74.74538511 1
 
1.0%
72.33944248 1
 
1.0%
70.497558 1
 
1.0%
72.68443528 1
 
1.0%
71.83760036 1
 
1.0%
71.39559932 1
 
1.0%
62.7625064 1
 
1.0%
62.44834711 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
33.86705483 1
1.0%
37.8440367 1
1.0%
38.59496964 1
1.0%
38.85819521 1
1.0%
39.57314362 1
1.0%
40.18181818 1
1.0%
41.511772 1
1.0%
41.53225806 1
1.0%
41.73913043 1
1.0%
41.88250158 1
1.0%
ValueCountFrequency (%)
75.1552795 1
1.0%
74.74538511 1
1.0%
72.68443528 1
1.0%
72.33944248 1
1.0%
71.83760036 1
1.0%
71.39559932 1
1.0%
70.83985394 1
1.0%
70.497558 1
1.0%
70.41284404 1
1.0%
69.62481962 1
1.0%
2025-07-18T18:18:23.741840image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

rsi_60
Numeric time series

High correlation  Non stationary  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.020969
Minimum46.880177
Maximum67.626155
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T18:18:23.944208image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum46.880177
5-th percentile48.851461
Q151.936462
median57.255283
Q363.782036
95-th percentile66.337851
Maximum67.626155
Range20.745978
Interquartile range (IQR)11.845574

Descriptive statistics

Standard deviation6.3113172
Coefficient of variation (CV)0.10877649
Kurtosis-1.5793953
Mean58.020969
Median Absolute Deviation (MAD)5.829
Skewness-0.094548586
Sum5802.0969
Variance39.832724
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.5938759438
2025-07-18T18:18:24.000504image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T18:18:24.156731image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T18:18:24.181083image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
66.63003663 1
 
1.0%
66.51966189 1
 
1.0%
67.62615494 1
 
1.0%
65.35091601 1
 
1.0%
64.00142146 1
 
1.0%
64.99308676 1
 
1.0%
64.80951141 1
 
1.0%
65.53751645 1
 
1.0%
60.99329845 1
 
1.0%
63.33648393 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
46.8801767 1
1.0%
47.25877193 1
1.0%
47.59397131 1
1.0%
48.44444444 1
1.0%
48.7451599 1
1.0%
48.85705578 1
1.0%
49.74695811 1
1.0%
49.80640998 1
1.0%
49.81733158 1
1.0%
50.00866101 1
1.0%
ValueCountFrequency (%)
67.62615494 1
1.0%
66.97974758 1
1.0%
66.63003663 1
1.0%
66.51966189 1
1.0%
66.38603332 1
1.0%
66.33531552 1
1.0%
66.28824834 1
1.0%
66.09024051 1
1.0%
65.777121 1
1.0%
65.71328303 1
1.0%
2025-07-18T18:18:24.044598image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

macd_7
Numeric time series

High correlation  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.49690064
Minimum-1.0909289
Maximum4.9989532
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T18:18:24.225296image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1.0909289
5-th percentile-0.88751395
Q1-0.26208077
median0.20834515
Q30.83183599
95-th percentile3.0830246
Maximum4.9989532
Range6.0898821
Interquartile range (IQR)1.0939168

Descriptive statistics

Standard deviation1.2105202
Coefficient of variation (CV)2.4361414
Kurtosis3.0369785
Mean0.49690064
Median Absolute Deviation (MAD)0.51318879
Skewness1.6999521
Sum49.690064
Variance1.4653592
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.001357688178
2025-07-18T18:18:24.284482image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T18:18:24.442822image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T18:18:24.472087image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
4.998953212 1
 
1.0%
4.280789633 1
 
1.0%
4.345252524 1
 
1.0%
3.96364517 1
 
1.0%
3.317361551 1
 
1.0%
3.070691045 1
 
1.0%
2.706130918 1
 
1.0%
2.268660058 1
 
1.0%
1.34437694 1
 
1.0%
0.8149531288 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-1.090928879 1
1.0%
-1.034823818 1
1.0%
-0.983434262 1
1.0%
-0.9594151168 1
1.0%
-0.9378993082 1
1.0%
-0.8848620859 1
1.0%
-0.8494945499 1
1.0%
-0.6331833163 1
1.0%
-0.5490466898 1
1.0%
-0.5325985687 1
1.0%
ValueCountFrequency (%)
4.998953212 1
1.0%
4.345252524 1
1.0%
4.280789633 1
1.0%
3.96364517 1
1.0%
3.317361551 1
1.0%
3.070691045 1
1.0%
2.706130918 1
1.0%
2.434614274 1
1.0%
2.303651724 1
1.0%
2.30244627 1
1.0%
2025-07-18T18:18:24.330469image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

macdsignal_7
Numeric time series

High correlation  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.72345454
Minimum-1.4032954
Maximum7.7448461
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T18:18:24.527501image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1.4032954
5-th percentile-1.0119665
Q1-0.39065108
median0.19621616
Q30.85080594
95-th percentile5.6275531
Maximum7.7448461
Range9.1481415
Interquartile range (IQR)1.241457

Descriptive statistics

Standard deviation1.9249324
Coefficient of variation (CV)2.6607511
Kurtosis5.1420643
Mean0.72345454
Median Absolute Deviation (MAD)0.60905266
Skewness2.254069
Sum72.345454
Variance3.7053649
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value4.919877657 × 10-9
2025-07-18T18:18:24.604383image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T18:18:24.937028image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T18:18:24.964110image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
7.491739418 1
 
1.0%
7.744846064 1
 
1.0%
7.513893703 1
 
1.0%
7.129682578 1
 
1.0%
6.47595855 1
 
1.0%
5.58290016 1
 
1.0%
4.623358257 1
 
1.0%
3.706906804 1
 
1.0%
2.772967491 1
 
1.0%
2.180548016 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-1.403295398 1
1.0%
-1.277539197 1
1.0%
-1.117792805 1
1.0%
-1.029058316 1
1.0%
-1.028891145 1
1.0%
-1.011075693 1
1.0%
-1.004169562 1
1.0%
-0.9171560323 1
1.0%
-0.8951149934 1
1.0%
-0.8351778851 1
1.0%
ValueCountFrequency (%)
7.744846064 1
1.0%
7.513893703 1
1.0%
7.491739418 1
1.0%
7.129682578 1
1.0%
6.47595855 1
1.0%
5.58290016 1
1.0%
4.623358257 1
1.0%
3.706906804 1
1.0%
2.772967491 1
1.0%
2.559274691 1
1.0%
2025-07-18T18:18:24.649764image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

macdhist_7
Numeric time series

High correlation  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2265539
Minimum-3.4640564
Maximum2.0316254
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T18:18:25.014063image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3.4640564
5-th percentile-2.4937574
Q1-0.67215815
median-0.097581862
Q30.3612024
95-th percentile1.2833011
Maximum2.0316254
Range5.4956818
Interquartile range (IQR)1.0333606

Descriptive statistics

Standard deviation1.0740513
Coefficient of variation (CV)-4.7408204
Kurtosis1.3343059
Mean-0.2265539
Median Absolute Deviation (MAD)0.52771528
Skewness-0.81897877
Sum-22.65539
Variance1.1535862
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value4.179183733 × 10-6
2025-07-18T18:18:25.072651image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T18:18:25.250622image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T18:18:25.286469image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
-2.492786206 1
 
1.0%
-3.464056432 1
 
1.0%
-3.16864118 1
 
1.0%
-3.166037408 1
 
1.0%
-3.158596999 1
 
1.0%
-2.512209115 1
 
1.0%
-1.917227339 1
 
1.0%
-1.438246746 1
 
1.0%
-1.428590551 1
 
1.0%
-1.365594887 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-3.464056432 1
1.0%
-3.16864118 1
1.0%
-3.166037408 1
1.0%
-3.158596999 1
1.0%
-2.512209115 1
1.0%
-2.492786206 1
1.0%
-1.97988723 1
1.0%
-1.917227339 1
1.0%
-1.849061343 1
1.0%
-1.82286983 1
1.0%
ValueCountFrequency (%)
2.0316254 1
1.0%
1.988443738 1
1.0%
1.956767694 1
1.0%
1.613789247 1
1.0%
1.571872063 1
1.0%
1.268113191 1
1.0%
1.210995966 1
1.0%
0.9635881519 1
1.0%
0.9036388065 1
1.0%
0.8706968293 1
1.0%
2025-07-18T18:18:25.118339image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

obv
Real number (ℝ)

High correlation  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.809137
Minimum0.0321743
Maximum805.78962
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-07-18T18:18:25.339433image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.0321743
5-th percentile0.088659096
Q10.42654434
median1.6500478
Q35.6712958
95-th percentile29.838996
Maximum805.78962
Range805.75744
Interquartile range (IQR)5.2447515

Descriptive statistics

Standard deviation80.673606
Coefficient of variation (CV)5.8420455
Kurtosis96.59189
Mean13.809137
Median Absolute Deviation (MAD)1.3530768
Skewness9.7523806
Sum1380.9137
Variance6508.2307
MonotonicityNot monotonic
2025-07-18T18:18:25.400079image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18.94995462 1
 
1.0%
6.35891736 1
 
1.0%
13.40398024 1
 
1.0%
18.0017557 1
 
1.0%
2.02466316 1
 
1.0%
18.8616936 1
 
1.0%
11.20648477 1
 
1.0%
0.80789053 1
 
1.0%
9.36610264 1
 
1.0%
1.53413108 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
0.0321743 1
1.0%
0.04809814 1
1.0%
0.05372216 1
1.0%
0.055102 1
1.0%
0.08738507 1
1.0%
0.08872615 1
1.0%
0.1025109 1
1.0%
0.1345293 1
1.0%
0.18378563 1
1.0%
0.19946723 1
1.0%
ValueCountFrequency (%)
805.7896151 1
1.0%
58.80823865 1
1.0%
46.6760611 1
1.0%
43.15335119 1
1.0%
40.1093201 1
1.0%
29.2984526 1
1.0%
25.96430709 1
1.0%
20.39150256 1
1.0%
18.94995462 1
1.0%
18.8616936 1
1.0%

target
Numeric time series

High correlation  Non stationary 

Distinct94
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2233.0412
Minimum2225.23
Maximum2239.71
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T18:18:25.452432image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2225.23
5-th percentile2226.6775
Q12231.3
median2232.935
Q32235.015
95-th percentile2238.771
Maximum2239.71
Range14.48
Interquartile range (IQR)3.715

Descriptive statistics

Standard deviation3.2423586
Coefficient of variation (CV)0.0014519923
Kurtosis-0.1065143
Mean2233.0412
Median Absolute Deviation (MAD)1.675
Skewness-0.15713677
Sum223304.12
Variance10.512889
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.06455000919
2025-07-18T18:18:25.512756image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T18:18:25.667673image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T18:18:25.699741image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2234.53 3
 
3.0%
2231.84 2
 
2.0%
2238 2
 
2.0%
2231 2
 
2.0%
2231.3 2
 
2.0%
2228.62 1
 
1.0%
2228.37 1
 
1.0%
2233.4 1
 
1.0%
2233.04 1
 
1.0%
2232.94 1
 
1.0%
Other values (84) 84
84.0%
ValueCountFrequency (%)
2225.23 1
1.0%
2226.04 1
1.0%
2226.43 1
1.0%
2226.58 1
1.0%
2226.63 1
1.0%
2226.68 1
1.0%
2227.15 1
1.0%
2228.09 1
1.0%
2228.14 1
1.0%
2228.3 1
1.0%
ValueCountFrequency (%)
2239.71 1
1.0%
2239.18 1
1.0%
2238.97 1
1.0%
2238.81 1
1.0%
2238.79 1
1.0%
2238.77 1
1.0%
2238.72 1
1.0%
2238.41 1
1.0%
2238 2
2.0%
2237.99 1
1.0%
2025-07-18T18:18:25.563738image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

Interactions

2025-07-18T18:18:16.996024image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:17:57.588039image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:17:58.488161image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:17:59.573539image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:00.541028image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:01.493934image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:00.838657image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:01.779685image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:02.656498image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:03.759525image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:04.634854image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:05.562206image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:06.502045image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:07.319286image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:08.115211image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:09.108017image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:09.893310image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:10.669976image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:11.629036image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:12.374213image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:13.112175image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:14.175679image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:15.013845image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:15.931808image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:17.035010image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:17:57.626486image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:17:58.525300image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:17:59.613765image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:00.589779image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:01.539580image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:00.875947image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:01.818954image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:02.695078image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:03.816209image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:04.687518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:05.594443image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:06.534585image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:07.357234image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:08.150315image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:09.151154image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:09.930603image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:10.704511image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:11.659378image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:12.404736image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:13.146806image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:14.214569image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:15.053636image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:15.974315image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:17.072588image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:17:57.663891image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:17:58.571363image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:17:59.653852image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:00.631053image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:01.594056image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:00.914552image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:01.854484image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:02.738623image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:03.863186image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:04.731481image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:05.625459image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:06.566326image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:07.393196image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:08.185791image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:09.189010image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:09.966516image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:10.883209image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:11.689544image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:12.438401image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:13.181850image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:14.256073image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:15.096406image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:16.014412image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:17.111642image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:17:57.703222image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:17:58.606589image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:17:59.701662image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:00.668439image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:01.629888image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:00.961106image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:01.893192image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:02.932736image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:03.905306image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:04.774167image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:05.657723image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:06.603158image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:07.432522image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:08.373460image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:09.222742image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:10.003143image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:10.920068image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:11.718831image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:12.468148image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:13.230444image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:14.294042image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:15.141558image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:16.053117image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:17.151905image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:17:57.736356image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:17:58.640233image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:17:59.743015image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:00.706972image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:00.962918image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:01.012650image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:01.929509image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:02.964253image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:03.944173image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:04.811512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:05.839781image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:06.641517image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:07.465879image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:08.406425image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:09.255335image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:10.037276image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:10.954806image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:11.748293image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:12.495907image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:13.264175image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:14.333709image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:15.184314image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:16.242790image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:17.193283image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:17:57.772695image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:17:58.678293image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:17:59.783678image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:00.747067image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:17:59.948216image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:01.054006image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:01.967176image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:02.999691image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:03.978417image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:04.850066image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:05.873708image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:06.676522image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:07.501136image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:08.441132image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:09.287139image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:10.075476image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:10.991527image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:11.785185image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-07-18T18:18:06.439810image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:07.235596image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:08.050821image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:09.040737image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:09.819577image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:10.604050image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:11.560433image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:12.307508image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:13.039967image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:14.091203image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:14.941989image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:15.847570image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:16.914502image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:17.916016image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:17:58.446485image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:17:59.397978image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:00.494101image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:01.447687image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:00.799942image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:01.740556image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:02.613358image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:03.711567image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:04.578652image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:05.530354image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:06.471470image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:07.275375image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:08.083348image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:09.074013image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:09.854257image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:10.638144image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:11.594823image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:12.340870image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:13.072606image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:14.136892image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:14.978990image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:15.889608image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T18:18:16.956071image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-07-18T18:18:25.757706image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
closeema_14ema_21ema_60ema_7highlowmacd_7macdhist_7macdsignal_7obvopenrsi_14rsi_21rsi_60rsi_7sma_14sma_21sma_60sma_7targetvolumewindow_end_mswindow_start_ms
close1.0000.5620.5590.5940.7700.9500.9400.4220.5420.0700.0000.8710.6550.370-0.2720.5540.5620.5590.5940.7700.5060.0000.6000.600
ema_140.5621.0000.8310.6980.8220.5780.6220.138-0.0900.325-0.2020.6130.1970.203-0.608-0.0751.0000.8310.6980.8220.359-0.2020.7000.700
ema_210.5590.8311.0000.7770.6820.5620.631-0.2240.212-0.128-0.3300.585-0.003-0.103-0.8070.0220.8311.0000.7770.6820.394-0.3300.7790.779
ema_600.5940.6980.7771.0000.6600.5520.665-0.1290.319-0.157-0.3720.5950.170-0.097-0.7950.1650.6980.7771.0000.6600.619-0.3720.9980.998
ema_70.7700.8220.6820.6601.0000.7950.8270.3740.2080.322-0.0370.8290.5460.292-0.4040.2010.8220.6820.6601.0000.394-0.0370.6600.660
high0.9500.5780.5620.5520.7951.0000.9240.4430.5150.1060.0480.9380.6420.373-0.2580.5090.5780.5620.5520.7950.4870.0480.5580.558
low0.9400.6220.6310.6650.8270.9241.0000.3400.5630.027-0.1040.9500.5990.265-0.3650.5130.6220.6310.6650.8270.532-0.1040.6700.670
macd_70.4220.138-0.224-0.1290.3740.4430.3401.000-0.0840.7380.4020.4090.7910.8510.4440.3390.138-0.224-0.1290.3740.1310.402-0.125-0.125
macdhist_70.542-0.0900.2120.3190.2080.5150.563-0.0841.000-0.646-0.0520.5170.286-0.224-0.1010.722-0.0900.2120.3190.2080.375-0.0520.3250.325
macdsignal_70.0700.325-0.128-0.1570.3220.1060.0270.738-0.6461.0000.2940.1020.3820.7490.285-0.1950.325-0.128-0.1570.322-0.1580.294-0.157-0.157
obv0.000-0.202-0.330-0.372-0.0370.048-0.1040.402-0.0520.2941.000-0.0280.3030.3820.4930.101-0.202-0.330-0.372-0.037-0.1041.000-0.370-0.370
open0.8710.6130.5850.5950.8290.9380.9500.4090.5170.102-0.0281.0000.6130.303-0.3130.4770.6130.5850.5950.8290.493-0.0280.6010.601
rsi_140.6550.197-0.0030.1700.5460.6420.5990.7910.2860.3820.3030.6131.0000.6330.2100.5100.197-0.0030.1700.5460.2840.3030.1740.174
rsi_210.3700.203-0.103-0.0970.2920.3730.2650.851-0.2240.7490.3820.3030.6331.0000.3390.2280.203-0.103-0.0970.2920.1550.382-0.094-0.094
rsi_60-0.272-0.608-0.807-0.795-0.404-0.258-0.3650.444-0.1010.2850.493-0.3130.2100.3391.0000.141-0.608-0.807-0.795-0.404-0.3780.493-0.800-0.800
rsi_70.554-0.0750.0220.1650.2010.5090.5130.3390.722-0.1950.1010.4770.5100.2280.1411.000-0.0750.0220.1650.2010.3770.1010.1840.184
sma_140.5621.0000.8310.6980.8220.5780.6220.138-0.0900.325-0.2020.6130.1970.203-0.608-0.0751.0000.8310.6980.8220.359-0.2020.7000.700
sma_210.5590.8311.0000.7770.6820.5620.631-0.2240.212-0.128-0.3300.585-0.003-0.103-0.8070.0220.8311.0000.7770.6820.394-0.3300.7790.779
sma_600.5940.6980.7771.0000.6600.5520.665-0.1290.319-0.157-0.3720.5950.170-0.097-0.7950.1650.6980.7771.0000.6600.619-0.3720.9980.998
sma_70.7700.8220.6820.6601.0000.7950.8270.3740.2080.322-0.0370.8290.5460.292-0.4040.2010.8220.6820.6601.0000.394-0.0370.6600.660
target0.5060.3590.3940.6190.3940.4870.5320.1310.375-0.158-0.1040.4930.2840.155-0.3780.3770.3590.3940.6190.3941.000-0.1040.6180.618
volume0.000-0.202-0.330-0.372-0.0370.048-0.1040.402-0.0520.2941.000-0.0280.3030.3820.4930.101-0.202-0.330-0.372-0.037-0.1041.000-0.370-0.370
window_end_ms0.6000.7000.7790.9980.6600.5580.670-0.1250.325-0.157-0.3700.6010.174-0.094-0.8000.1840.7000.7790.9980.6600.618-0.3701.0001.000
window_start_ms0.6000.7000.7790.9980.6600.5580.670-0.1250.325-0.157-0.3700.6010.174-0.094-0.8000.1840.7000.7790.9980.6600.618-0.3701.0001.000

Missing values

2025-07-18T18:18:17.990158image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-07-18T18:18:18.068380image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

pairopenhighlowclosevolumewindow_start_mswindow_end_mscandle_secondssma_7sma_14sma_21sma_60ema_7ema_14ema_21ema_60rsi_7rsi_14rsi_21rsi_60macd_7macdsignal_7macdhist_7obvtarget
1751995080000ETH/EUR2230.122230.122224.842224.8418.94995517519950800001751995140000602231.4957142226.5471432218.4271432206.4696672231.4957142226.5471432218.4271432206.46966744.34615470.91457370.41284466.6300374.9989537.491739-2.49278618.9499552231.88
1751995140000ETH/EUR2224.602226.562224.082226.566.35891717519951400001751995200000602231.2342862227.4678572219.5685712207.0690002231.2342862227.4678572219.5685712207.06900046.62486265.40760270.83985466.5196624.2807907.744846-3.4640566.3589172231.84
1751995200000ETH/EUR2227.862232.792227.862232.7913.40398017519952000001751995260000602230.8300002228.7578572221.0495242207.7303332230.8300002228.7578572221.0495242207.73033344.58062069.21276674.74538567.6261554.3452537.513894-3.16864113.4039802231.84
1751995260000ETH/EUR2232.552232.752230.082230.0818.00175617519952600001751995320000602230.6557142229.5314292222.4309522208.3085002230.6557142229.5314292222.4309522208.30850047.51020461.98274072.33944265.3509163.9636457.129683-3.16603718.0017562228.62
1751995320000ETH/EUR2229.562229.562226.582228.712.02466317519953200001751995380000602229.9728572229.8521432223.7100002208.8338332229.9728572229.8521432223.7100002208.83383339.90709555.39793270.49755864.0014213.3173626.475959-3.1585972.0246632229.19
1751995380000ETH/EUR2228.502231.882228.502231.8818.86169417519953800001751995440000602229.5285712230.3392862225.1771432209.4121672229.5285712230.3392862225.1771432209.41216743.86587857.76411772.68443564.9930873.0706915.582900-2.51220918.8616942229.40
1751995440000ETH/EUR2230.792231.842230.792231.8411.20648517519954400001751995500000602229.5285712230.7221432226.5500002209.9810002229.5285712230.7221432226.5500002209.98100050.00000056.29995371.83760064.8095112.7061314.623358-1.91722711.2064852228.37
1751995500000ETH/EUR2231.832231.842231.832231.840.80789117519955000001751995560000602230.5285712231.0121432227.8742862210.5711672230.5285712231.0121432227.8742862210.57116772.96587954.92240571.39559965.5375162.2686603.706907-1.4382470.8078912233.40
1751995560000ETH/EUR2231.832231.832228.622228.629.36610317519955600001751995620000602230.8228572231.0285712228.5861902210.9703332230.8228572231.0285712228.5861902210.97033356.15292750.26225862.76250660.9932981.3443772.772967-1.4285919.3661032232.94
1751995620000ETH/EUR2228.682229.652227.502229.191.53413117519956200001751995680000602230.3085712230.5692862229.2747622211.4406672230.3085712230.5692862229.2747622211.44066733.75451341.35520362.44834763.3364840.8149532.180548-1.3655951.5341312233.04
pairopenhighlowclosevolumewindow_start_mswindow_end_mscandle_secondssma_7sma_14sma_21sma_60ema_7ema_14ema_21ema_60rsi_7rsi_14rsi_21rsi_60macd_7macdsignal_7macdhist_7obvtarget
1752000480000ETH/EUR2235.582235.582234.872235.100.19946717520004800001752000540000602235.7400002234.2585712233.4809522233.7558332235.7400002234.2585712233.4809522233.75583361.87989661.68224362.70022953.2842040.7706500.855177-0.0845270.1994672235.00
1752000540000ETH/EUR2234.102234.692233.832234.692.55469817520005400001752000600000602235.6142862234.3500002233.6233332233.7976672235.6142862234.3500002233.6233332233.79766734.61538558.16326561.11524252.0356850.6051710.818130-0.2129582.5546982236.53
1752000600000ETH/EUR2234.622234.622234.402234.405.10286717520006000001752000660000602235.4142862234.4978572233.7447622233.8620002235.4142862234.4978572233.7447622233.86200026.02739764.68085159.38189853.2006630.4532830.752111-0.2988295.1028672238.79
1752000660000ETH/EUR2234.532234.592233.712233.761.26736717520006600001752000720000602235.0142862234.5807142233.8619052233.8621672235.0142862234.5807142233.8619052233.8621670.00000057.81671258.99122850.0086610.2886430.740169-0.4515271.2673672238.72
1752000720000ETH/EUR2234.192234.602234.192234.600.76149117520007200001752000780000602234.8442862234.7414292233.9528572233.8056672234.8442862234.7414292233.9528572233.80566729.26829364.04494457.27342046.8801770.2696590.686997-0.4173390.7614912238.81
1752000780000ETH/EUR2234.592235.002234.592235.0010.07719117520007800001752000840000602234.7342862234.9350002234.1295242233.7556672234.7342862234.9350002234.1295242233.75566738.15384666.22754565.29266347.2587720.3279160.723897-0.39598110.0771912238.97
1752000840000ETH/EUR2236.522236.532236.382236.530.08872617520008400001752000900000602234.8685712235.2392862234.3785712233.7115002234.8685712235.2392862234.3785712233.71150060.21739171.60243469.15750947.5939710.5151330.730735-0.2156020.0887262239.71
1752000900000ETH/EUR2236.372238.792236.372238.799.06222317520009000001752000960000602235.3957142235.5678572234.6376192233.7178332235.3957142235.5678572234.6376192233.71783378.96389372.54902069.62482050.3359260.8824850.7871090.0953769.0622232238.77
1752000960000ETH/EUR2239.002239.322238.722238.722.09787417520009600001752001020000602235.9714292235.7928572234.8904762233.7548332235.9714292235.7928572234.8904762233.75483383.41625267.71653569.14203352.0285091.0964300.8500650.2463652.0978742237.03
1752001020000ETH/EUR2238.732238.812238.722238.8111.69742717520010200001752001080000602236.6014292236.0078572235.1990482233.7683332236.6014292236.0078572235.1990482233.76833387.82161267.20000075.15528050.7597071.1890860.8530290.33605711.6974272236.49